State-adaptive policy regularization (SAPPS) for smooth control in continuous-control reinforcement learning, with simulation and real-world experiments.
-
Updated
Feb 23, 2026 - Python
State-adaptive policy regularization (SAPPS) for smooth control in continuous-control reinforcement learning, with simulation and real-world experiments.
Wavefront-sensorless adaptive optics using action-regularized reinforcement learning for optical satellite communication, with simulation environments and reproducible experiments accompanying the Optica Open preprint.
Add a description, image, and links to the policy-smoothing topic page so that developers can more easily learn about it.
To associate your repository with the policy-smoothing topic, visit your repo's landing page and select "manage topics."